FIT9123 Big Data in Manufacturing - Doc
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Monash University
Introduction to Business Information Systems (FIT9123)
Added on 2020-05-11
FIT9123 Big Data in Manufacturing - Doc
Monash University
Introduction to Business Information Systems (FIT9123)
Added on 2020-05-11
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Running head: BIG DATA IN MANUFACTURINGBig Data in ManufacturingName of the StudentName of the UniversityAuthor’s noteTable of Contents
1BIG DATA IN MANUFACTURINGAbstract......................................................................................................................................1Introduction................................................................................................................................11. Augmentation of the efficiency, quality and yield of biopharmaceutical production,Advancement of the integration of IT services, operational systems and converting thevision of Industrie 4.0 into a reality.......................................................................................12. Showcase of product demand and production, understanding plant performance acrossmultiple metrics and catering service and support to customers............................................23. Integration of advanced analytics across the Six Sigma DMAIC......................................24. Greater visibility accuracy in predicting supplier performance on time............................25. Measurement of traceability and compliance to the machine level...................................26. Selling off most profitable customized configurations of products that enhancesprofitable services..................................................................................................................37. Break down of compliance systems and quality management...........................................38. Daily production impacts on financial performance..........................................................39. Strategic service and a contribution to customers’ goals...................................................310. Increasing the accuracy, quality and yield of biopharmaceutical production..................4Case Study: Big Data Analytics for Smart Manufacturing- Case Studies in SemiconductorManufacturing............................................................................................................................4Conclusion..................................................................................................................................5References..................................................................................................................................6Appendices.................................................................................................................................8
2BIG DATA IN MANUFACTURINGAbstractThis report is all about big data and its positive effect, the organizations irrespectiveof shape and size can gain the maximum benefits. This can help the organizations to cater thequality service to the clients or customers. The big data can prove to be fruitful to theorganizations so they can provide them with advanced solutions. A case study has beendiscussed in terms of semiconductor manufacturing. All these have been discussed in thereport in a simple elaborate manner.IntroductionThe big data analysis can enhance the business operations irrespective of industry andthe industry size. The impact of big data is enhancing day by day and the industries like ITindustry, the biopharmaceutical industry is gaining the profit. The report will highlight the big data effects, will showcase how the managers canhandle the business operations with much ease, ten revolutionary ways by which the big datacan bring in the revolution will be detailed along with the case study of the semiconductorindustry.1. Advancement of the incorporation of IT services, operational systems and theIndustrie 4.0 technologyThe Industrie 4.0 is a technology adopted by the Government of Germany and theyhave a plan to fully automatize the factories of Germany. Big data is utilized to optimize theproduction schedules and this production is based on the supplier, clients, cost constraints andthe availability of machines (Lee, Kao & Yang, 2014). The German suppliers and theGerman manufacturers are planning to use the Industrie 4.0 for the embellishment of theircompany. Big data analysis can increase the productivity; can ease the manufacturingprocedures as all the manufacturing units will work digitally.
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